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Record W4250704650 · doi:10.1002/cpe.1450

Guest Editorial: Distributed Simulation, Virtual Environments and Real‐time Applications

2009· editorial· en· W4250704650 on OpenAlexafffund
Abdulmotaleb El Saddik, Mirela Sechi Moretti Annoni Notare

Bibliographic record

VenueConcurrency and Computation Practice and Experience · 2009
Typeeditorial
Languageen
FieldComputer Science
TopicDistributed and Parallel Computing Systems
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComputer scienceAvatarField (mathematics)Process (computing)Human–computer interactionVirtual realityMultimediaVirtual machineRepresentation (politics)ConcurrencyVirtual representationAffordanceWorld Wide WebProgramming language

Abstract

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Welcome to this special issue of Concurrency and Computation on ‘Distributed Simulation, Virtual Environments and Real-time Applications’. The papers included in this special issue are based mainly on selected extended versions of the best papers accepted in the 2007 International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2007). We have only accepted five papers in this special issue from many selected extended versions of papers accepted in DS-RT. This means that these accepted papers have undergone a thorough and a critical review process by experts in the field. In their work Boukerche, Al Hamidi and Zhang described the design and implementation of a web-based 3D virtual environment application that aims to help the training practice of personnel working in the radiology department of a hospital. Their proposed system aims at helping users to learn, to play or to be trained in a ‘like-real’ situation by using X3D technology and embedding it in a distributed virtual environment. Murray, Roberts, Steed, Sharkey, Dickerson, Rae and Wolff addressed an important issue related to collaborative virtual environments and video conferencing. They are enhancing the 3D representation of participants through avatars by mechanisms tracking people's eyes and representing their movements on their avatars. Their approach is capable of reproducing the line of gaze as opposed to approximating it only. They also describe an experiment to assess the difference between users' abilities to judge what objects an avatar is looking at with only head movements being displayed and the eyes remaining static, and with eye gaze and head movement information being displayed. The results from the experiment showed that eye gaze is of vital importance to the subjects correctly identifying what a person is looking at in an immersive virtual environment. Hossain and El Saddik addressed several key issues in distributed multimedia services management and composition such as scalability, heterogeneity and QoS. Their proposed framework introduced biologically inspired multimedia service management through the composition of different multimedia services such as streaming and transcoding services. They make use of biologically inspired algorithms in order to collect the QoS requirements from individual transcoding services that fulfill the requirements of the composition process. A prototype of the proposed framework is designed, implemented and evaluated in terms of scalability and load balancing. Lees, Logan and Theodoropoulos described an optimistic synchronisation algorithm for parallel discrete event simulation of multi-agent systems, and showed that it outperforms Time Warp and time windows on a range of test cases. Their proposed DTRD algorithm uses a decision theoretic model of rollback to derive an optimal time to delay read event so as to maximize the rate of LVT progression. Their analysis suggests that the performance of the algorithm is relatively insensitive to events whose inter-arrival times are not normally distributed. Chetlur and Wilsey described a distributed cancellation mechanism using Total Clocks to prevent cascading and inter-related rollbacks in distributed simulations. The scalability of total clocks is addressed through a time-stamp mechanism referred as plausible total clocks and a proactive cancellation mechanism. They showed that the size of plausible total clocks is dependent on the number of LPs (n) and independent of the number of simulation objects (m) (typically n≪m ). A proof of correctness of the cancellation mechanism using plausible total clocks is then presented to show that only erroneous computations will be annihilated by this technique. Scalability of this technique to track causal relationship makes it suitable for a practical implementation. Mustafee and Taylor introduced WinGrid, a desktop grid computing middleware, specifically designed for executing CSP-based simulations on Windows computers. The authors discussed the use of WinGrid in support of FIRST, a specialist simulation application using the CSP Witness, and the IRS-RBF simulation, a credit risk simulation application using the CSP Analytics. A Grid-enabled version of FIRST and the IRS-RBF simulation has been developed with minimum technological intervention. The performance results of the grid-enabled version of FIRST and the IRS-RBF simulation were presented and discussed in detail. Their work tries to focus attention on the benefit that small desktop grids can give to simulation in industry in the future. I would like to thank all the authors and reviewers for their contributions and devoted efforts. A special thank you goes to the technical program committee of DS-RT for their valuable time and superior work. Thanks are also due to the editorial assistants for their fine support. Finally, special thanks to the Editors-in-Chiefs of Concurrency and Practice for hosting this special issue. I hope that the work reported here will motivate further research and development efforts in this intriguing and vital technology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.544
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.307
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes2
Has abstractyes

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